Literature DB >> 34799251

Meta-analysis of Lobectomy and Sublobar Resection for Stage I Non-small Cell Lung Cancer With Spread Through Air Spaces.

Jialong Li1, Yan Wang1, Jue Li1, Shangqi Cao1, Guowei Che2.   

Abstract

Surgery is the preferred treatment for early-stage non-small cell lung cancer (NSCLC). Numerous studies have shown that spread through air spaces (STAS) can predict the survival of patients with stage I NSCLC. However, for stage I NSCLC, it is not known whether sublobar resection or lobectomy should be performed if STAS is present. In the present study, we compared the survival outcomes of patients with STAS who underwent lobectomy versus those who underwent sublobar resection. A search was performed on the PubMed, Cochrane Library and EMBASE on March 6, 2021 to identify relevant studies. Predetermined criteria were utilized to screen studies. A meta-analysis was performed using hazard ratio (HR). In total, 13 studies involving 5947 patients were included in the meta-analysis. It was found that STAS was significantly correlated with worse RFS (HR = 2.58, 95% CI: 2.16-3.07) and OS (HR = 2.41, 95% CI: 1.97-2.95) in patients with stage I NSCLC. Lobectomy resulted in a longer RFS (HR = 2.59, 95% CI: 1.99-3.37) and OS (HR = 2.78, 95% CI: 1.92-4.02) than sublobar resection in stage I NSCLC patients with STAS. STAS is an independent prognostic factor in NSCLC. Lobectomy may be more effective for stage I NSCLC patients who underwent sublobar resection previously if STAS is present.
Copyright © 2021. Published by Elsevier Inc.

Entities:  

Keywords:  Air space invasion; Anatomic pulmonary resection; Early stage NSCLC; Operation type; Prognosis

Mesh:

Year:  2021        PMID: 34799251     DOI: 10.1016/j.cllc.2021.10.004

Source DB:  PubMed          Journal:  Clin Lung Cancer        ISSN: 1525-7304            Impact factor:   4.785


  2 in total

1.  To explore the prognostic value of spread through air spaces and develop a nomogram combined with spread through air spaces in lung squamous cell carcinoma.

Authors:  Hongyan Yu; Chengbin Lin; Xiaohan Chen; Zheng Wang; Weiyu Shen
Journal:  J Thorac Dis       Date:  2022-09       Impact factor: 3.005

2.  Bioinformatics algorithm for lung adenocarcinoma based on macropinocytosis-related long noncoding RNAs as a reliable indicator for predicting survival outcomes and selecting suitable anti-tumor drugs.

Authors:  Hang Chen; Shuguang Xu; Zeyang Hu; Yiqing Wei; Youjie Zhu; Shenzhe Fang; Qiaoling Pan; Kaitai Liu; Ni Li; Linwen Zhu; Guodong Xu
Journal:  Medicine (Baltimore)       Date:  2022-09-23       Impact factor: 1.817

  2 in total

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